Automate The Automations With AI From Leoforce

Introduction

Welcome to Taking the Higher Road, a special show dedicated to the trucking industry, specifically focusing on the intersections of recruiting, retention, and compliance. As the host of this show, I bring over two decades of industry experience, both on the carrier side as well as the vendor side. Each week, I interview industry experts and thought leaders to discuss the greatest challenges within the driver life cycle. Your feedback, good or bad, is always appreciated, so please leave a rating and a review.

I would also like to highlight and thank our valuable sponsors, whose commitment to the industry and to this show is greatly appreciated. If you’re interested in being a sponsor or joining me for an interview, please email Jeremy at takingthehighroad.com.

The Special Guest: James Winfrey of Leoforce

This week, I’m joined by a great friend, James Winfrey, Vice President of Partnerships and Integrations at Leoforce, who also happens to be a sponsor of the show. We discuss how Leoforce addresses many of the constant challenges we talk about here, particularly in recruiting and retaining talent in the trucking industry.

James kicks off the conversation by sharing his background, which includes extensive experience in the HR technology landscape. He initially ventured into the human capital space in early 2003 at monster.com, helping to transform the recruitment industry from print ads to online advertising. As he transitioned to working specifically in the transportation sector, he identified a market ripe for innovation.

What is Leoforce?

Leoforce is an AI-powered machine learning assistant tailored for the hiring process. It can be deployed in various stages of recruitment, offering numerous outcome-based solutions. James highlights that one of their most popular offerings in the trucking industry is the "Application on Demand" solution. This tool assists recruiters by automating critical aspects of the hiring process, from interview scheduling to job matching and candidate sourcing.

The application's AI can read job descriptions, match them with potential candidates, and engage users to encourage them to apply. The most notable feature is its outcome-based pricing model, where clients only pay for completed applications. This pricing model overcomes challenges presented by traditional pay-per-click recruitment advertising.

Current Challenges in Hiring

James notes that speed to contact is a major hiring challenge in the truck driving sector. Applicants often apply to multiple positions, so how quickly a company can make contact often determines their success in hiring that candidate. Employing AI helps address this by allowing instant engagement with candidates and setting up interviews without burdening recruiters with time-consuming tasks.

Actionable Strategies for Recruitment

To attract and retain talent, companies need to leverage technology effectively. Simply gathering countless leads is not enough; focusing on quality leads and understanding applicants' intent is vital. James emphasizes the necessity of having actionable data accessible to recruiters to streamline processes.

Trends in Recruitment

One emerging trend is the automation of recruitment processes. Companies that embrace technology and automations will be more effective and improve recruiter efficiency. James mentions, "automate the automations" is a mantra that resonates through the organization as they look to streamline processes and focus on what truly matters: building relationships.

Conclusion

While technology and AI are reshaping the recruitment landscape in trucking, the core of successful hiring remains steadfast—engaging with and building relationships with potential candidates. James Winfrey's insights highlight a transformative approach to hiring in the trucking industry, one that can lead to better outcomes in both recruitment and retention efforts.

Keywords

• AI
• Machine Learning
• Recruitment
• Transportation
• Application on Demand
• Outcome-based Pricing
• Candidate Engagement
• Speed to Contact
• Automate the Automations

FAQ

What is Leoforce? Leoforce is an AI-powered recruitment assistant that automates various stages of the hiring process, including job matching and scheduling interviews.

How does AI assist in the recruitment process? AI can read job descriptions, match them with potential candidates, engage with users in real-time, and streamline the application process.

What are some current challenges in hiring within the trucking industry? Speed to contact is a significant challenge, as drivers often apply to multiple jobs simultaneously. Quick engagement is crucial for successful recruitment.

What is the relevance of an outcome-based pricing model in recruitment? An outcome-based pricing model means companies only pay for completed applications, reducing the risks associated with traditional pay-per-click strategies.

What is the mantra "automate the automations"? This phrase emphasizes the need to streamline recruitment processes by leveraging technology and AI to automate routine tasks, allowing recruiters to focus on building relationships.